AI-Native Engineering Leader for Enterprise Agentic Workflows

Accenture; Des Moines (IA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI Native Engineer with 3+ years of experience in building cloud-native solutions and agentic systems. You will embed with clients, define use cases, prototype, and deploy agentic workflows across enterprise environments, collaborating with stakeholders to scale AI-native engineering globally.

You will work across platforms and domains, leveraging Kubernetes, Docker, CI/CD, and multi-provider AI tooling to deliver robust, secure solutions in production.

Qualifications

• Bachelor's degree or equivalent work experience
• Minimum 3 years engineering experience with cloud-native systems
• Minimum 1 year expertise in designing and deploying agentic solutions in production
• Minimum 3 years experience with AI platforms (OpenAI, Claude, Vertex AI, etc.)
• Minimum 5 years programming in Python, Java, or equivalent
• Minimum 5 years deploying to production with CI/CD and IaC
• Minimum 5 years in client communication and workshops

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders.
• Measure & Improve: Define metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Skills

Cloud-native engineering

Agentic systems design

Python

Java

CI/CD

Kubernetes

Docker

Client engagement

MLOps

Education

Bachelor's degree or equivalent

Tools

OpenAI

Anthropic

Vertex AI

Job description

Accenture is seeking an AI Native Engineer with 3+ years of experience in building cloud-native solutions and agentic systems. You will embed with clients, define use cases, prototype, and deploy agentic workflows across enterprise environments, collaborating with stakeholders to scale AI-native engineering globally.

You will work across platforms and domains, leveraging Kubernetes, Docker, CI/CD, and multi-provider AI tooling to deliver robust, secure solutions in production.